Endometabolic profiling of pigmented glacier ice algae: the impact of sample processing

Elisa K. Peter; Carsten Jaeger; Jan Lisec; R. Sven Peters; Rey Mourot; Pamela E. Rossel; Martyn Tranter; Alexandre M. Anesio; Liane G. Benning

doi:10.1007/s11306-024-02147-6

Endometabolic profiling of pigmented glacier ice algae: the impact of sample processing

Elisa K. Peter^*, Carsten Jaeger, Jan Lisec, R. Sven Peters, Rey Mourot, Pamela E. Rossel, Martyn Tranter, Alexandre M. Anesio, Liane G. Benning^*

^*Corresponding author af dette arbejde

Institut for Miljøvidenskab - Mikrobiel Økologi

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

Abstract

Introduction: Glacier ice algae, mainly Ancylonema alaskanum and Ancylonema nordenskiöldi, bloom on Greenland Ice Sheet bare ice surfaces. They significantly decrease surface albedo due to their purple-brown pigmentation, thus increasing melt. Little is known about their metabolic adaptation and factors controlling algal growth dynamics and pigment formation. A challenge in obtaining such data is the necessity of melting samples, which delays preservation and introduces bias to metabolomic analysis. There is a need to evaluate the physiological response of algae to melting and establish consistent sample processing strategies for metabolomics of ice microbial communities. Objectives: To address the impact of sample melting procedure on metabolic characterization and establish a processing and analytical workflow for endometabolic profiling of glacier ice algae. Methods: We employed untargeted, high-resolution mass spectrometry and tested the effect of sample melt temperature (10, 15, 20 °C) and processing delay (up to 49 h) on the metabolome and lipidome, and complemented this approach with cell counts (FlowCam), photophysiological analysis (PAM) and diversity characterization. Results and Conclusion: We putatively identified 804 metabolites, with glycerolipids, glycerophospholipids and fatty acyls being the most prominent superclasses (> 50% of identified metabolites). Among the polar metabolome, carbohydrates and amino acid-derivatives were the most abundant. We show that 8% of the metabolome is affected by melt duration, with a pronounced decrease in betaine membrane lipids and pigment precursors, and an increase in phospholipids. Controlled fast melting at 10 °C resulted in the highest consistency, and is our recommendation for future supraglacial metabolomics studies.

Originalsprog	Engelsk
Artikelnummer	98
Tidsskrift	Metabolomics
Vol/bind	20
Nummer	5
ISSN	1573-3882
DOI	https://doi.org/10.1007/s11306-024-02147-6
Status	Udgivet - okt. 2024

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10.1007/s11306-024-02147-6Licens: CC BY

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@article{8902db01ba554ba1a7029072f6e8f514,

title = "Endometabolic profiling of pigmented glacier ice algae: the impact of sample processing",

abstract = "Introduction: Glacier ice algae, mainly Ancylonema alaskanum and Ancylonema nordenski{\"o}ldi, bloom on Greenland Ice Sheet bare ice surfaces. They significantly decrease surface albedo due to their purple-brown pigmentation, thus increasing melt. Little is known about their metabolic adaptation and factors controlling algal growth dynamics and pigment formation. A challenge in obtaining such data is the necessity of melting samples, which delays preservation and introduces bias to metabolomic analysis. There is a need to evaluate the physiological response of algae to melting and establish consistent sample processing strategies for metabolomics of ice microbial communities. Objectives: To address the impact of sample melting procedure on metabolic characterization and establish a processing and analytical workflow for endometabolic profiling of glacier ice algae. Methods: We employed untargeted, high-resolution mass spectrometry and tested the effect of sample melt temperature (10, 15, 20 °C) and processing delay (up to 49 h) on the metabolome and lipidome, and complemented this approach with cell counts (FlowCam), photophysiological analysis (PAM) and diversity characterization. Results and Conclusion: We putatively identified 804 metabolites, with glycerolipids, glycerophospholipids and fatty acyls being the most prominent superclasses (> 50% of identified metabolites). Among the polar metabolome, carbohydrates and amino acid-derivatives were the most abundant. We show that 8% of the metabolome is affected by melt duration, with a pronounced decrease in betaine membrane lipids and pigment precursors, and an increase in phospholipids. Controlled fast melting at 10 °C resulted in the highest consistency, and is our recommendation for future supraglacial metabolomics studies.",

keywords = "FlowCam, Glacier ice algae, Greenland, High resolution mass spectrometry, Metabolomics, PAM fluorometry",

author = "Peter, {Elisa K.} and Carsten Jaeger and Jan Lisec and Peters, {R. Sven} and Rey Mourot and Rossel, {Pamela E.} and Martyn Tranter and Anesio, {Alexandre M.} and Benning, {Liane G.}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",

year = "2024",

month = oct,

doi = "10.1007/s11306-024-02147-6",

language = "English",

volume = "20",

journal = "Metabolomics",

issn = "1573-3882",

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TY - JOUR

T1 - Endometabolic profiling of pigmented glacier ice algae

T2 - the impact of sample processing

AU - Peter, Elisa K.

AU - Jaeger, Carsten

AU - Lisec, Jan

AU - Peters, R. Sven

AU - Mourot, Rey

AU - Rossel, Pamela E.

AU - Tranter, Martyn

AU - Anesio, Alexandre M.

AU - Benning, Liane G.

N1 - Publisher Copyright: © The Author(s) 2024.

PY - 2024/10

Y1 - 2024/10

N2 - Introduction: Glacier ice algae, mainly Ancylonema alaskanum and Ancylonema nordenskiöldi, bloom on Greenland Ice Sheet bare ice surfaces. They significantly decrease surface albedo due to their purple-brown pigmentation, thus increasing melt. Little is known about their metabolic adaptation and factors controlling algal growth dynamics and pigment formation. A challenge in obtaining such data is the necessity of melting samples, which delays preservation and introduces bias to metabolomic analysis. There is a need to evaluate the physiological response of algae to melting and establish consistent sample processing strategies for metabolomics of ice microbial communities. Objectives: To address the impact of sample melting procedure on metabolic characterization and establish a processing and analytical workflow for endometabolic profiling of glacier ice algae. Methods: We employed untargeted, high-resolution mass spectrometry and tested the effect of sample melt temperature (10, 15, 20 °C) and processing delay (up to 49 h) on the metabolome and lipidome, and complemented this approach with cell counts (FlowCam), photophysiological analysis (PAM) and diversity characterization. Results and Conclusion: We putatively identified 804 metabolites, with glycerolipids, glycerophospholipids and fatty acyls being the most prominent superclasses (> 50% of identified metabolites). Among the polar metabolome, carbohydrates and amino acid-derivatives were the most abundant. We show that 8% of the metabolome is affected by melt duration, with a pronounced decrease in betaine membrane lipids and pigment precursors, and an increase in phospholipids. Controlled fast melting at 10 °C resulted in the highest consistency, and is our recommendation for future supraglacial metabolomics studies.

AB - Introduction: Glacier ice algae, mainly Ancylonema alaskanum and Ancylonema nordenskiöldi, bloom on Greenland Ice Sheet bare ice surfaces. They significantly decrease surface albedo due to their purple-brown pigmentation, thus increasing melt. Little is known about their metabolic adaptation and factors controlling algal growth dynamics and pigment formation. A challenge in obtaining such data is the necessity of melting samples, which delays preservation and introduces bias to metabolomic analysis. There is a need to evaluate the physiological response of algae to melting and establish consistent sample processing strategies for metabolomics of ice microbial communities. Objectives: To address the impact of sample melting procedure on metabolic characterization and establish a processing and analytical workflow for endometabolic profiling of glacier ice algae. Methods: We employed untargeted, high-resolution mass spectrometry and tested the effect of sample melt temperature (10, 15, 20 °C) and processing delay (up to 49 h) on the metabolome and lipidome, and complemented this approach with cell counts (FlowCam), photophysiological analysis (PAM) and diversity characterization. Results and Conclusion: We putatively identified 804 metabolites, with glycerolipids, glycerophospholipids and fatty acyls being the most prominent superclasses (> 50% of identified metabolites). Among the polar metabolome, carbohydrates and amino acid-derivatives were the most abundant. We show that 8% of the metabolome is affected by melt duration, with a pronounced decrease in betaine membrane lipids and pigment precursors, and an increase in phospholipids. Controlled fast melting at 10 °C resulted in the highest consistency, and is our recommendation for future supraglacial metabolomics studies.

KW - FlowCam

KW - Glacier ice algae

KW - Greenland

KW - High resolution mass spectrometry

KW - Metabolomics

KW - PAM fluorometry

UR - http://www.scopus.com/inward/record.url?scp=85200920178&partnerID=8YFLogxK

U2 - 10.1007/s11306-024-02147-6

DO - 10.1007/s11306-024-02147-6

M3 - Journal article

C2 - 39123092

AN - SCOPUS:85200920178

SN - 1573-3882

VL - 20

JO - Metabolomics

JF - Metabolomics

IS - 5

M1 - 98

ER -

Endometabolic profiling of pigmented glacier ice algae: the impact of sample processing

Abstract

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